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Case Converter

dev_case_converter

Convert text between nine letter cases: UPPER, lower, Title, Sentence, camelCase, PascalCase, snake_case, kebab-case and CONSTANT_CASE. camelCase boundaries are split automatically. Use this when an agent needs to camelCase, snake_case, kebab-case and more. x402 price $0.01/call (USDC, eip155:8453).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText
styleYesConvert to

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden, and it does disclose two real traits: automatic camelCase boundary splitting and an x402 payment requirement ($0.01/call in USDC on eip155:8453), which is important auth/cost context an agent needs before calling. It does not describe behavior on malformed or empty input, so it stops short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the capability and the case list, then pricing, with no wasted preamble. The middle 'Use this when...' sentence is largely redundant with sentence one, which costs it the top score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, yet the description never says what is returned (converted text) or how errors surface for unsupported input. Payment and case coverage are covered, so it is adequate but leaves a real gap for a tool with zero annotations and no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the style enum is fully enumerated in the schema, so the baseline is 3. The description mirrors the enum values and adds the boundary-splitting note, but contributes no syntax or format detail beyond the schema itself.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Convert') and resource ('text') and enumerates the nine target cases, so the agent knows exactly what transformation is performed. It is clearly distinguishable from the unit/format converters in the sibling list (converters_length_converter, dev_number_base_converter, dev_csv_convert).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only guidance is 'Use this when an agent needs to camelCase, snake_case, kebab-case and more,' which merely restates the first sentence rather than telling the agent when this tool is preferable to a sibling or when it is inappropriate. No exclusions, prerequisites, or alternatives are named.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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